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- Tasks: Analyse and manage data to support revenue recognition and financial reporting.
- Company: Professional membership organisation with a focus on finance and analytics.
- Benefits: Competitive daily rate, flexible working environment, and valuable experience in finance.
- Why this job: Join a dynamic team and enhance your analytical skills while making a real impact.
- Qualifications: Strong Excel skills and 1-3 years in finance or analytical roles.
- Other info: Opportunity for growth and learning in a supportive environment.
We are seeking an Interim Revenue & Data Analyst to provide contract support within the Finance team of a professional membership organisation. The successful candidate will work extensively with NetSuite and Excel, supporting data management, validation, and reporting activities that underpin accurate revenue recognition and financial close. This role is well suited to someone who is highly analytical, detail-oriented, and confident working with large datasets.
Key Responsibilities
- Perform detailed data management and validation within NetSuite and Excel.
- Support the application and understanding of revenue recognition rules and policies.
- Review revenue-related data inputs across the different revenue performance obligations (exam registrations, exam sitting dates, deferrals, upsells etc.).
- Support both front-end review (source data review, consistency) and back-end review testing (output calculation, allocations, recognition periods).
- Maintain and update Excel-based revenue trackers and supporting schedules.
- Identify data inconsistencies and escalate issues with clear supporting analysis.
- Support reconciliation projects, ensuring revenue and deferred revenue balances are accurate and complete.
- Support month-end and fiscal close processes through data preparation and validation.
- Assist with audit preparedness, particularly in advance of fiscal year-end (August), by preparing schedules and supporting documentation.
- Continue supporting front-end and back-end review testing as required.
Skills and Experience:
- Strong Excel skills (Pivot tables, Lookup formulas (XLOOKUP / VLOOKUP / INDEX-MATCH).
- Proven ability to work confidently with large datasets.
- 1–3 years’ experience in a finance, accounting, or analytical role.
- Confident working independently with data, while escalating issues appropriately.
- Strong organisational skills and ability to manage detailed, repetitive tasks.
- Clear communicator, able to explain data findings to senior team members.
- Willingness to learn and apply revenue recognition concepts.
Desirable
- Experience working with NetSuite or a similar ERP system.
- Exposure to revenue, billing, deferred revenue, or reconciliation work.
- Prior experience supporting month-end close or audit processes.
- US GAAP knowledge.
Interim Data Analyst (Revenue) in City of London employer: Brewer Morris
Contact Detail:
Brewer Morris Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Data Analyst (Revenue) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analysis fields. You never know who might have a lead on an interim role or can put in a good word for you.
✨Tip Number 2
Get your Excel skills sharp! Brush up on those pivot tables and lookup formulas. Being able to showcase your proficiency in Excel during interviews can really set you apart from the competition.
✨Tip Number 3
Prepare for those tricky questions! Be ready to discuss your experience with data management and revenue recognition. Practising how to explain your past roles will help you sound confident and knowledgeable.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you land that interim role. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Interim Data Analyst (Revenue) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Interim Data Analyst role. Highlight your experience with Excel and any relevant data management skills. We want to see how your background aligns with our needs!
Showcase Your Analytical Skills: In your application, emphasise your analytical abilities and experience working with large datasets. We love candidates who can demonstrate their attention to detail and problem-solving skills!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how you can contribute to our Finance team. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Brewer Morris
✨Know Your Numbers
Before the interview, brush up on your Excel skills, especially with Pivot tables and lookup formulas. Be ready to discuss how you've used these tools in past roles, particularly when working with large datasets. This will show that you’re not just familiar with the software but can also apply it effectively.
✨Understand Revenue Recognition
Make sure you have a solid grasp of revenue recognition rules and policies. Familiarise yourself with common terms and concepts related to revenue management, as this will likely come up in conversation. Being able to explain these concepts clearly will demonstrate your analytical skills and readiness for the role.
✨Prepare for Scenario Questions
Think about potential scenarios related to data inconsistencies or month-end close processes. Prepare examples from your previous experience where you identified issues and how you resolved them. This will showcase your problem-solving abilities and attention to detail, which are crucial for this position.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your analysis to senior team members, so being a clear communicator is key. Consider doing mock interviews with a friend to refine your ability to convey information succinctly and confidently.
